Associate Software Engineer–AI/ML

Position Responsibilities:

1. Development of innovative, nonstandard approaches for knowledge discovery and parametric trending of structured and unstructured data and analysis to provide actionable information that improves aircraft and fleet efficiency and performance and helps increase productivity of Boeing engineers.
2. Leverage AI-driven image processing & deep learning techniques to recognize classify & catalog vast amount of image & video data for multiple airplane, airspace & airport applications.
3. Applying approaches such as novel statistical and probabilistic methods, machine learning multivariate analysis, predictive analytics and deep learning techniques to diverse areas such as airplane health management, manufacturing, automation, supply chain and more in order to add value to Boeing products.
4. Developing data visualization techniques and implementing data dashboards to enable interpretable representation of raw data as well as results of analysis. Programming in languages such Python and R as well as developing applications using tools such as Tableau and Power BI.
5. Working closely & collaboratively with an international team comprising software development and research engineers. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects.
6. Help in the adoption of new tools and technology, perform Proof-of-concepts.
7. Documenting results of research and development projects and provide input for periodic updates to in the form of progress reports, project summaries, and other related documents. Tracking and evaluating performance to ensure product and process conformance to project plans and project requirements.

Basic Qualifications (Required Skills/Experience):

1. Bachelor’s degree in computer science, Software Engineering, or a related field from a Tier 1/reputed academic institution.
2. Strong technical experience in developing & delivering machine learning solutions.
3. 5+ years of relevant experience with bachelors or Masters with 4+ years' related work experience or PhD in Computer Science, Software Engineering, or a related field with a focus on AI/ML and Computer Vision.
4. Proficiency in programming languages such as Python, C++, or similar, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
5. Solid understanding of machine learning algorithms, computer vision techniques, and image processing.
6. Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team environment.
7. Strong communication skills, both written and verbal, with the ability to present complex ideas clearly.

Preferred Qualifications (Desired Skills/Experience):

1. Experience with large-scale datasets and cloud computing platforms (e.g., AWS, Google Cloud).
2. Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies.
3. Knowledge of additional areas such as natural language processing or reinforcement learning is a plus.
4. Experience in publishing in top-tier conferences & journals.